* installing *source* package 'GWmodel' ...
** package 'GWmodel' successfully unpacked and MD5 sums checked
** using staged installation
**********************************************
WARNING: this package has a configure script
It probably needs manual configuration
**********************************************
** libs
using C compiler: 'gcc.exe (GCC) 13.3.0'
using C++ compiler: 'g++.exe (GCC) 13.3.0'
make[1]: Entering directory '/d/temp/2024_11_18_01_50_00_1577/RtmpE3bO2D/R.INSTALLfcf467447ecb/GWmodel/src'
g++ -std=gnu++17 -I"D:/RCompile/recent/R/include" -DNDEBUG -I'D:/RCompile/CRANpkg/lib/4.5/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.5/RcppArmadillo/include' -I'D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include' -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -DARMA_64BIT_WORD=1 -fopenmp -pedantic -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -DR_NO_REMAP -c GWmodel.cpp -o GWmodel.o
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:205,
from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Dense:1,
from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:28,
from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigen.h:25,
from GWmodel.cpp:13:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/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/4.5/RcppEigen/include/Eigen/SparseCore:37,
from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Sparse:26,
from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:29:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix<double, 0, int>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/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/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix<double, -1, -1>'
GWmodel.cpp:1434:66: required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix<double, -1, -1>'
GWmodel.cpp:1434:66: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix<double, -1, 1>'
GWmodel.cpp:1434:66: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
GWmodel.cpp: In function 'Rcpp::List new_multiscale(Eigen::MatrixXd, Eigen::MatrixXd, Rcpp::List, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Matrix<double, -1, 1>, std::vector<int, std::allocator<int> >, bool, bool, int, bool, int, double, int, std::vector<std::__cxx11::basic_string<char> >, int, int, int, int)':
GWmodel.cpp:1437:21: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<int, std::allocator<int> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
1437 | for (int i = 0; i < var_dMat_index.size(); i++) {
| ~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >'
GWmodel.cpp:1447:41: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.5/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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from 'struct Eigen::internal::cast_return_type<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
d:\rcompile\cranpkg\lib\4.5\rcppeigen\include\eigen\src\plugins\commoncwiseunaryops.h:48:179: required from 'struct Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >::CastXpr<double>'
d:\rcompile\cranpkg\lib\4.5\rcppeigen\include\eigen\src\plugins\commoncwiseunaryops.h:62:1: required by substitution of 'template<class NewType> typename Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >::cast() const [with NewType = double]'
GWmodel.cpp:1448:52: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
GWmodel.cpp:1461:21: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<Eigen::Matrix<double, -1, -1> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
1461 | for (int d = 0; d < dMats.size(); d++) {
| ~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>'
GWmodel.cpp:1466:31: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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> >'
GWmodel.cpp:1520:40: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>'
GWmodel.cpp:1536:24: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class 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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp<Eigen::internal::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> >'
GWmodel.cpp:1536:51: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/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/4.5/RcppEigen/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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class 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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp<Eigen::internal::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> >'
GWmodel.cpp:1536:51: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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> >'
GWmodel.cpp:1555:52: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >'
GWmodel.cpp:1556:34: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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>'
GWmodel.cpp:1556:39: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 1>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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>'
GWmodel.cpp:1556:39: required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/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/4.5/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/4.5/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/4.5/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, true>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/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, true>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/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, true>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.5/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, true>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, true>, const Eigen::Matrix<double, -1, -1> >'
GWmodel.cpp:1579:54: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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> >'
GWmodel.cpp:1580:39: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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>'
GWmodel.cpp:1620:29: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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> >'
GWmodel.cpp:1620:41: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 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/4.5/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, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.5/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, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.5/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, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 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/4.5/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, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >'
GWmodel.cpp:1620:53: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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> >'
GWmodel.cpp:1621:25: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
GWmodel.cpp:1621:47: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>'
GWmodel.cpp:1678:25: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
GWmodel.cpp:1678:51: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >'
GWmodel.cpp:1680:42: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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, 8>'
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
GWmodel.cpp:1680:43: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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::Matrix<double, -1, -1>, Eigen::Transpose<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/4.5/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::Matrix<double, -1, -1>, Eigen::Transpose<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/4.5/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::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
GWmodel.cpp:1680:47: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, Eigen::Transpose<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/4.5/RcppEigen/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::Matrix<double, -1, -1>, Eigen::Transpose<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/4.5/RcppEigen/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::Matrix<double, -1, -1>, Eigen::Transpose<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/4.5/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::Matrix<double, -1, -1>, Eigen::Transpose<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/4.5/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::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
GWmodel.cpp:1680:47: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<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/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<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/4.5/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>'
GWmodel.cpp:1680:68: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<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/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<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/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >'
GWmodel.cpp:1680:80: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, true> >, 1>'
D:/RCompile/CRANpkg/lib/4.5/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, true> >, 3>'
D:/RCompile/CRANpkg/lib/4.5/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, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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, true> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
GWmodel.cpp:1681:42: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
GWmodel.cpp:1681:68: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>'
GWmodel.cpp:1861:46: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>'
GWmodel.cpp:1863:81: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> >'
GWmodel.cpp:1863:43: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > > >'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > > >'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >'
GWmodel.cpp:1863:93: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >'
GWmodel.cpp:1865:41: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/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/4.5/RcppEigen/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/4.5/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/4.5/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> >'
GWmodel.cpp:1865:61: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.5/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_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, 0>'
GWmodel.cpp:1865:64: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix<double, 1, -1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:440:19: required from 'class Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >'
GWmodel.cpp:1867:51: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >'
GWmodel.cpp:1868:34: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose<const Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >'
GWmodel.cpp:1868:50: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>'
GWmodel.cpp:1870:33: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, 0>'
GWmodel.cpp:1870:39: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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> >'
GWmodel.cpp:1876:51: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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>'
GWmodel.cpp:1881:36: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, 1>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, 1>, 0>'
GWmodel.cpp:1915:37: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
GWmodel.cpp:1934:50: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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> > >'
GWmodel.cpp:1971:57: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/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/4.5/RcppEigen/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/4.5/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/4.5/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> > >'
GWmodel.cpp:1971:57: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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_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::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/4.5/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_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::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/4.5/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_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::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/4.5/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_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::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> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::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::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> > > >'
GWmodel.cpp:1971:91: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::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::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/4.5/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::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::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/4.5/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::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::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/4.5/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::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::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> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::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::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> > > >'
GWmodel.cpp:1972:91: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/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/4.5/RcppEigen/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/4.5/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/4.5/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> >'
GWmodel.cpp:2074:51: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>'
GWmodel.cpp:2074:68: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/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::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/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::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> >'
GWmodel.cpp:2074:69: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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> >'
GWmodel.cpp:2193:42: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, 6>'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>'
GWmodel.cpp:2193:43: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >'
GWmodel.cpp:2209:40: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const 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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
GWmodel.cpp:2209:52: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const 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/4.5/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::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.5/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::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const 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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
GWmodel.cpp:2209:52: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
GWmodel.cpp:2237:59: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
GWmodel.cpp:2237:71: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, -1> >'
GWmodel.cpp:2241:27: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >'
GWmodel.cpp:2264:60: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Matrix<double, -1, 1> > >'
GWmodel.cpp:2264:61: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Matrix<double, -1, 1> > > > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Matrix<double, -1, 1> > > >'
GWmodel.cpp:2264:73: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Matrix<double, -1, 1> >'
GWmodel.cpp:2267:27: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >'
GWmodel.cpp:2279:82: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Transpose<const Eigen::Matrix<double, -1, 1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Transpose<const Eigen::Matrix<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Transpose<const Eigen::Matrix<double, -1, 1> > > > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, 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::Transpose<const Eigen::Matrix<double, -1, 1> > > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Transpose<const Eigen::Matrix<double, -1, 1> > > > >'
GWmodel.cpp:2308:84: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase<Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > > >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34: required from 'class Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:596:7: required from 'class Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >'
GWmodel.cpp:2368:88: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Transpose<const Eigen::Matrix<double, -1, 1> > > > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase<Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Transpose<const Eigen::Matrix<double, -1, 1> > > > > > >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Transpose<const Eigen::Matrix<double, -1, 1> > > > > > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Transpose<const Eigen::Matrix<double, -1, 1> > > > > > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34: required from 'class Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Transpose<const Eigen::Matrix<double, -1, 1> > > > > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:596:7: required from 'class Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Transpose<const Eigen::Matrix<double, -1, 1> > > > > >'
GWmodel.cpp:2397:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:167:44: required from 'struct Eigen::internal::evaluator<Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:273:8: required from 'struct Eigen::internal::evaluator<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:96:8: required from 'struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>, 6, Eigen::DenseShape, Eigen::DenseShape, double, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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<Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
GWmodel.cpp:1556:37: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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::Matrix<double, -1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
GWmodel.cpp:2195:19: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/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/4.5/RcppEigen/include/Eigen/Core:277:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: 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::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
GWmodel.cpp:2020:39: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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<Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/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>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; 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>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/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<Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/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<Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
GWmodel.cpp:1556:37: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/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/4.5/RcppEigen/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/4.5/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/4.5/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/4.5/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/4.5/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>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; 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>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/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<Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/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<Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
GWmodel.cpp:1556:37: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock<Eigen::Matrix<double, 1, -1>, -1>'
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
GWmodel.cpp:1867:84: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:21: required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
GWmodel.cpp:1867:84: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:549:27: required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
GWmodel.cpp:1867:84: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/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::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/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::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Rhs = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; 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>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; 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>; XprType = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
GWmodel.cpp:1915:42: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >]'
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<const 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>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; XprType = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]'
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Options = 0; XprType = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]'
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Option = 0; Scalar = double]'
GWmodel.cpp:2193:43: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:478:32: required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::mean() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
GWmodel.cpp:2209:51: required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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]'
GWmodel.cpp:1719:26: required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
GWmodel.cpp:1867:84: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
GWmodel.cpp:1867:84: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
GWmodel.cpp:1867:84: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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::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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
GWmodel.cpp:1867:84: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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::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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
GWmodel.cpp:1867:84: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
GWmodel.cpp:1867:84: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/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/4.5/RcppEigen/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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class 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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp<Eigen::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/4.5/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::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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
GWmodel.cpp:1867:84: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/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/4.5/RcppEigen/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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class 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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
GWmodel.cpp:1867:84: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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::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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
GWmodel.cpp:1867:84: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<Eigen::Matrix<double, -1, 1> >; Lhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
GWmodel.cpp:1870:39: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
GWmodel.cpp:2020:39: required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/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_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/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_difference_op<double, double>, const Eigen::ArrayWrapper<const 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]'
GWmodel.cpp:2209:52: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:461:33: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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::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> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required 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::CwiseBinaryOp<Eigen::internal::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> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.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::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> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void 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::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> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.5/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::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> >]'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>]'
GWmodel.cpp:1536:51: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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::Matrix<double, -1, -1>, -1, 1, true>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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::Matrix<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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::Matrix<double, -1, -1>, -1, 1, true>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/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::Matrix<double, -1, -1>, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1578:38: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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::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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
GWmodel.cpp:1867:84: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
GWmodel.cpp:1867:84: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
GWmodel.cpp:1867:84: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
GWmodel.cpp:1867:84: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
GWmodel.cpp:1893:49: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:535:24: required from 'void Eigen::MatrixPower<MatrixType>::computeIntPower(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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, 4>'
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/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::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1679:50: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/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::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1679:50: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::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/4.5/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::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/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::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/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const 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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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_product_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/4.5/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_product_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/4.5/RcppEigen/include/Eigen/src/Core/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_product_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]'
GWmodel.cpp:1865:64: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const 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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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_product_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/4.5/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_product_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/4.5/RcppEigen/include/Eigen/src/Core/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_product_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]'
GWmodel.cpp:1865:64: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 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::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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<const Eigen::Matrix<double, -1, -1> >; Rhs = 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/4.5/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<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const 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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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_product_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/4.5/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_product_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/4.5/RcppEigen/include/Eigen/src/Core/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_product_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]'
GWmodel.cpp:1865:64: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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::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/4.5/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::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/4.5/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::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/4.5/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::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/4.5/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::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/4.5/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::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/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const 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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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_product_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/4.5/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_product_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/4.5/RcppEigen/include/Eigen/src/Core/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_product_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]'
GWmodel.cpp:1865:64: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const 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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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_product_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/4.5/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_product_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/4.5/RcppEigen/include/Eigen/src/Core/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_product_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]'
GWmodel.cpp:1865:64: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.5/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<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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<const Eigen::Matrix<double, -1, -1> >; Rhs = 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/4.5/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<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const 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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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_product_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/4.5/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_product_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/4.5/RcppEigen/include/Eigen/src/Core/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_product_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]'
GWmodel.cpp:1865:64: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
GWmodel.cpp:1867:84: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
GWmodel.cpp:1867:84: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
GWmodel.cpp:1867:84: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, 0> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, 0> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:498:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Product<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, 2>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1> > >, 0>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Product<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, 2>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1> > >, 0>, 0> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Product<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, 2>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1> > >, 0>, 0> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Product<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, 2>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1> > >, 0>, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Product<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, 2>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1> > >, 0>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:580:80: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:463:30: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/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/4.5/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/4.5/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>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; 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>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/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<Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/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<Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
GWmodel.cpp:1556:37: required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/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::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1679:50: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/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::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1679:50: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/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::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1679:50: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/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/4.5/RcppEigen/include/Eigen/Core:330:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:126:68: 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, 0, false, 0, 1>, Eigen::Matrix<double, -1, -1>, 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/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/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::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1679:50: required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
384 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
384 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
384 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
384 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
384 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
384 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
384 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
384 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
384 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
384 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
384 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
384 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.5/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_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const 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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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_product_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/4.5/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_product_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/4.5/RcppEigen/include/Eigen/src/Core/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_product_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]'
GWmodel.cpp:1865:64: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const 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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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_product_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/4.5/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_product_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/4.5/RcppEigen/include/Eigen/src/Core/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_product_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]'
GWmodel.cpp:1865:64: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const 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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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_product_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/4.5/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_product_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/4.5/RcppEigen/include/Eigen/src/Core/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_product_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]'
GWmodel.cpp:1865:64: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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::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>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = 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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
GWmodel.cpp:1867:84: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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::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>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = 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/4.5/RcppEigen/include/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::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>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::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>; ExpressionType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.5/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::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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
GWmodel.cpp:1867:84: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
GWmodel.cpp:1893:49: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:213:35: required from 'void Eigen::MatrixPowerAtomic<MatrixType>::computeBig(ResultType&) const [with MatrixType = Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>; ResultType = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:155:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:463:30: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1> >, Eigen::internal::member_sum<double, double>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1> >, Eigen::internal::member_sum<double, double>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1> >, Eigen::internal::member_sum<double, double>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1> >, Eigen::internal::member_sum<double, double>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:213:51: required from 'void Eigen::MatrixPowerAtomic<MatrixType>::computeBig(ResultType&) const [with MatrixType = Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>; ResultType = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:155:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:463:30: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/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/4.5/RcppEigen/include/Eigen/Core:333:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 0>':
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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::Matrix<double, -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/4.5/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::Matrix<double, -1, -1>; Rhs = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/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::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1679:50: required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
42 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
42 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
42 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
42 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
42 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
42 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
42 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
42 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
42 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
42 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
42 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
42 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 1>':
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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::Matrix<double, -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/4.5/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::Matrix<double, -1, -1>; Rhs = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/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::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1679:50: required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
42 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
42 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
42 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
42 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
42 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
42 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
42 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
42 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
42 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
42 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
42 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
42 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 2>':
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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::Matrix<double, -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/4.5/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::Matrix<double, -1, -1>; Rhs = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/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::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1679:50: required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
42 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
42 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
42 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
42 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
42 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
42 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
42 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
42 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
42 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
42 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
42 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
42 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/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::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1679:50: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/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/4.5/RcppEigen/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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class 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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp<Eigen::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/4.5/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::Matrix<double, -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/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/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::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1679:50: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const 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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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_product_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/4.5/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_product_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/4.5/RcppEigen/include/Eigen/src/Core/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_product_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]'
GWmodel.cpp:1865:64: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const 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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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_product_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/4.5/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_product_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/4.5/RcppEigen/include/Eigen/src/Core/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_product_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]'
GWmodel.cpp:1865:64: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: 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::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const 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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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_product_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/4.5/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_product_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/4.5/RcppEigen/include/Eigen/src/Core/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_product_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]'
GWmodel.cpp:1865:64: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const 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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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_product_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/4.5/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_product_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/4.5/RcppEigen/include/Eigen/src/Core/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_product_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]'
GWmodel.cpp:1865:64: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
GWmodel.cpp:1867:84: required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from '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/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
GWmodel.cpp:1867:84: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<Eigen::Matrix<double, -1, 1> >; Lhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
GWmodel.cpp:1870:39: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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> >, 2, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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> >, 2, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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> >, 2, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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> >, 2, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.5/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> >, 2, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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> >, 2, -1, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:203:15: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
GWmodel.cpp:2184:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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> >, 2, -1, true> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_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> >, 2, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from 'PacketType Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114: required from 'void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75: required from 'static void Eigen::internal::dense_assignment_loop<Kernel, 3, 0>::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> >, Eigen::internal::assign_op<double, double>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, member_sum<double, double>, 1>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
GWmodel.cpp:2184:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, std::complex<double> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, std::complex<double> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, -1, 1> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:463:30: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: 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/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: 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/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: 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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.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/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck<T, U, 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/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/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::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1679:50: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/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::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1679:50: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: 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/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: 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/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: 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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.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/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck<T, U, 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/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/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::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1679:50: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/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::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1679:50: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: 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/4.5/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::Matrix<double, -1, -1>; Rhs = 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/4.5/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:141:16: 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, 0, false, 0, 1>, Eigen::Matrix<double, -1, -1>, 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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/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::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1679:50: required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
384 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
384 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
384 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
384 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
384 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
384 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
384 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
384 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
384 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
384 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
384 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
384 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: 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/4.5/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::Matrix<double, -1, -1>; Rhs = 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/4.5/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:141:16: 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, 0, false, 0, 1>, Eigen::Matrix<double, -1, -1>, 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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/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::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1679:50: required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
384 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
384 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
384 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
384 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
384 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
384 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
384 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
384 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
384 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
384 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
384 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
384 | prefix ## name ## Packet
| ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck<T, U, 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const 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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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_product_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/4.5/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_product_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/4.5/RcppEigen/include/Eigen/src/Core/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_product_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]'
GWmodel.cpp:1865:64: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const 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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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_product_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/4.5/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_product_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/4.5/RcppEigen/include/Eigen/src/Core/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_product_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]'
GWmodel.cpp:1865:64: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: 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::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/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: 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::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/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: 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::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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.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::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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.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::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/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck<T, U, 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::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/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const 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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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_product_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/4.5/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_product_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/4.5/RcppEigen/include/Eigen/src/Core/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_product_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]'
GWmodel.cpp:1865:64: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const 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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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_product_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/4.5/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_product_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/4.5/RcppEigen/include/Eigen/src/Core/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_product_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]'
GWmodel.cpp:1865:64: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const 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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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_product_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/4.5/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_product_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/4.5/RcppEigen/include/Eigen/src/Core/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_product_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]'
GWmodel.cpp:1865:64: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<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>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/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::Transpose<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>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/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::Transpose<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>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > > > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<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>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<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>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const 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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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_product_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/4.5/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_product_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/4.5/RcppEigen/include/Eigen/src/Core/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_product_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]'
GWmodel.cpp:1865:64: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
GWmodel.cpp:1867:84: required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required 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/4.5/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/4.5/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::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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
GWmodel.cpp:1867:84: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
GWmodel.cpp:1867:84: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
GWmodel.cpp:1867:84: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/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/4.5/RcppEigen/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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class 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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp<Eigen::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/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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::Matrix<double, -1, -1>, -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/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
GWmodel.cpp:1867:84: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
GWmodel.cpp:1867:84: required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/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/4.5/RcppEigen/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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class 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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_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/4.5/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/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<Eigen::Matrix<double, -1, 1> >; Lhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
GWmodel.cpp:1870:39: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, false, false>'
D:/RCompile/CRANpkg/lib/4.5/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, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, false>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
GWmodel.cpp:2184:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ReturnByValue<Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase<Eigen::ReturnByValue<Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, 1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::ReturnByValue<Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::ReturnByValue<Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34: required from 'class Eigen::ReturnByValue<Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, 1> > >'
d:\rcompile\cranpkg\lib\4.5\rcppeigen\include\eigen\src\eigenvalues\hessenbergdecomposition.h:339:38: required from 'struct Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/ComplexSchur.h:376:40: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: 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/4.5/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::Matrix<double, -1, -1>; Rhs = 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/4.5/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:141:16: 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, 0, false, 0, 1>, Eigen::Matrix<double, -1, -1>, 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/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/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::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1679:50: required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: 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/4.5/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::Matrix<double, -1, -1>; Rhs = 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/4.5/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:141:16: 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, 0, false, 0, 1>, Eigen::Matrix<double, -1, -1>, 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/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/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::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1679:50: required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: 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/4.5/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::Matrix<double, -1, -1>; Rhs = 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/4.5/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:141:16: 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, 0, false, 0, 1>, Eigen::Matrix<double, -1, -1>, 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/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/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::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1679:50: required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: 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/4.5/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::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = 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/4.5/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:141:16: 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, 1, false, double, 0, false, 0, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 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/4.5/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::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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<const Eigen::Matrix<double, -1, -1> >; Rhs = 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/4.5/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<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const 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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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_product_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/4.5/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_product_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/4.5/RcppEigen/include/Eigen/src/Core/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_product_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]'
GWmodel.cpp:1865:64: required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
GWmodel.cpp:1867:84: required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
GWmodel.cpp:1867:84: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
GWmodel.cpp:1867:84: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/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/4.5/RcppEigen/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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class 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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::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/4.5/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/4.5/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/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/4.5/RcppEigen/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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class 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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_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/4.5/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/4.5/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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 = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 1; int Mode = 2]'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 2]'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int _Mode = 2]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:603:20: required from 'void Eigen::ColPivHouseholderQR<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix<double, -1, -1>; DstType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:463:30: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const 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::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/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::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1679:50: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/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::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1679:50: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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::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>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/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::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>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::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>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const 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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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_product_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/4.5/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_product_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/4.5/RcppEigen/include/Eigen/src/Core/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_product_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]'
GWmodel.cpp:1865:64: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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::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/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const 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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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_product_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/4.5/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_product_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/4.5/RcppEigen/include/Eigen/src/Core/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_product_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]'
GWmodel.cpp:1865:64: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<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>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<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>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > > > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<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>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits<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::Transpose<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>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const 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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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_product_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/4.5/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_product_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/4.5/RcppEigen/include/Eigen/src/Core/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_product_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]'
GWmodel.cpp:1865:64: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required 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/4.5/RcppEigen/include/Eigen/src/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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void 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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
GWmodel.cpp:1867:84: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
GWmodel.cpp:1867:84: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
GWmodel.cpp:1867:84: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
GWmodel.cpp:1867:84: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required 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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void 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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
GWmodel.cpp:1893:49: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, 2, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, 2, 2>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/ComplexSchur.h:293:32: required from 'Eigen::ComplexSchur<_MatrixType>::ComplexScalar Eigen::ComplexSchur<_MatrixType>::computeShift(Index, Index) [with _MatrixType = Eigen::Matrix<double, -1, 1>; ComplexScalar = std::complex<double>; Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/ComplexSchur.h:434:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/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/4.5/RcppEigen/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/4.5/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/4.5/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/4.5/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::Matrix<double, -1, -1>; int ProductTag = 8; 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>; 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>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/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::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1679:50: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/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/4.5/RcppEigen/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/4.5/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/4.5/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/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >; int ProductTag = 8; 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> >; 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, -1, -1>, const Eigen::Matrix<double, -1, 1> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const 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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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_product_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/4.5/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_product_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/4.5/RcppEigen/include/Eigen/src/Core/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_product_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]'
GWmodel.cpp:1865:64: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
GWmodel.cpp:1867:84: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: 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/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: 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/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: 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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.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/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck<T, U, 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/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
GWmodel.cpp:1867:84: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
GWmodel.cpp:1867:84: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(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::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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.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::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/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::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_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::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:2178:25: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_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, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from '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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; ResultType = double; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 1; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:214:47: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
GWmodel.cpp:2184:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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\4.5\rcppeigen\include\eigen\src\eigenvalues\hessenbergdecomposition.h:306:25: required from 'static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>; VectorType = Eigen::Matrix<double, 1, -1>]'
d:\rcompile\cranpkg\lib\4.5\rcppeigen\include\eigen\src\eigenvalues\hessenbergdecomposition.h:161:15: required from 'Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/ComplexSchur.h:375:25: required from 'static void Eigen::internal::complex_schur_reduce_to_hessenberg<MatrixType, false>::run(Eigen::ComplexSchur<MatrixType>&, const MatrixType&, bool) [with MatrixType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/ComplexSchur.h:337:94: required from 'Eigen::ComplexSchur<MatrixType>& Eigen::ComplexSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/ComplexSchur.h:121:14: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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, 3>'
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class 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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/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/4.5/RcppEigen/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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class 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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class 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/4.5/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::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\4.5\rcppeigen\include\eigen\src\eigenvalues\hessenbergdecomposition.h:314:35: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/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/4.5/RcppEigen/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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class 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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_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/4.5/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\4.5\rcppeigen\include\eigen\src\eigenvalues\hessenbergdecomposition.h:314:35: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0, 4>'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, -1, 1, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.5/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, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/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/4.5/RcppEigen/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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class 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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp<Eigen::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/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25: required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(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, true>; Scalar = double]'
d:\rcompile\cranpkg\lib\4.5\rcppeigen\include\eigen\src\eigenvalues\hessenbergdecomposition.h:318:36: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, -1, 1, false> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, -1, 1, false> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, -1, 1, false> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, -1, 1, false> >, 0, 5>'
D:/RCompile/CRANpkg/lib/4.5/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<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, -1, 1, false> >, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/LU/InverseImpl.h:322:60: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, 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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, 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<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const 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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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_product_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/4.5/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_product_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/4.5/RcppEigen/include/Eigen/src/Core/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_product_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]'
GWmodel.cpp:1865:64: required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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::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/4.5/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::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::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 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/4.5/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::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/4.5/RcppEigen/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::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/4.5/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::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/4.5/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::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<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const 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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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_product_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/4.5/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_product_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/4.5/RcppEigen/include/Eigen/src/Core/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_product_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]'
GWmodel.cpp:1865:64: required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<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>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<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::Transpose<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>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<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>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/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::Transpose<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>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12: 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::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const 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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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_product_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/4.5/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_product_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/4.5/RcppEigen/include/Eigen/src/Core/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_product_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]'
GWmodel.cpp:1865:64: required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(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::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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.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::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/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::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_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::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:2178:25: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:123:11: 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\4.5\rcppeigen\include\eigen\src\eigenvalues\hessenbergdecomposition.h:314:35: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
GWmodel.cpp:1867:84: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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, 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/4.5/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, 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/4.5/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, 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/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const 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/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
GWmodel.cpp:1867:84: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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\4.5\rcppeigen\include\eigen\src\eigenvalues\hessenbergdecomposition.h:305:59: required from 'static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>; VectorType = Eigen::Matrix<double, 1, -1>]'
d:\rcompile\cranpkg\lib\4.5\rcppeigen\include\eigen\src\eigenvalues\hessenbergdecomposition.h:161:15: required from 'Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/ComplexSchur.h:375:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1> >, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1> >, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:463:30: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required 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/4.5/RcppEigen/include/Eigen/src/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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void 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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
GWmodel.cpp:1867:84: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required 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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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, 4>'
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, false, false, 1, 0>':
D:/RCompile/CRANpkg/lib/4.5/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 = std::complex<double>; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, -1, -1, false>; int Side = 1; int Mode = 2]'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, -1, -1, false>; unsigned int _Mode = 2]'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, -1, -1, false>; unsigned int _Mode = 2]'
D:/RCompile/CRANpkg/lib/4.5/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::Product<Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, -1, -1, false>, 0>; DstType = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, -1, -1, false>; unsigned int _Mode = 2]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:463:30: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
769 | PACKET_DECL_COND(Real, _PacketSize);
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
391 | name ## Packet
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
769 | PACKET_DECL_COND(Real, _PacketSize);
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
391 | name ## Packet
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
769 | PACKET_DECL_COND(Real, _PacketSize);
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
391 | name ## Packet
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
769 | PACKET_DECL_COND(Real, _PacketSize);
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
391 | name ## Packet
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
775 | Vectorizable = unpacket_traits<RealPacket>::vectorizable
| ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
780 | RealPacketSize = Vectorizable ? unpacket_traits<RealPacket>::size : 1,
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
790 | typedef DoublePacket<RealPacket> DoublePacketType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
793 | typedef typename conditional<Vectorizable,RealPacket, Scalar>::type LhsPacket;
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
794 | typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type RhsPacket;
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
796 | typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type AccPacket;
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
799 | typedef QuadPacket<RhsPacket> RhsPacketx4;
| ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, false, false, 1, 1>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from 'struct Eigen::internal::gebp_kernel<std::complex<double>, std::complex<double>, long long int, Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>, 1, 4, false, false>'
D:/RCompile/CRANpkg/lib/4.5/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 = std::complex<double>; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, -1, -1, false>; int Side = 1; int Mode = 2]'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, -1, -1, false>; unsigned int _Mode = 2]'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, -1, -1, false>; unsigned int _Mode = 2]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:552:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:463:30: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
769 | PACKET_DECL_COND(Real, _PacketSize);
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
391 | name ## Packet
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
769 | PACKET_DECL_COND(Real, _PacketSize);
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
391 | name ## Packet
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
769 | PACKET_DECL_COND(Real, _PacketSize);
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
391 | name ## Packet
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
769 | PACKET_DECL_COND(Real, _PacketSize);
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
391 | name ## Packet
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
775 | Vectorizable = unpacket_traits<RealPacket>::vectorizable
| ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
780 | RealPacketSize = Vectorizable ? unpacket_traits<RealPacket>::size : 1,
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
790 | typedef DoublePacket<RealPacket> DoublePacketType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
793 | typedef typename conditional<Vectorizable,RealPacket, Scalar>::type LhsPacket;
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
794 | typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type RhsPacket;
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
796 | typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type AccPacket;
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
799 | typedef QuadPacket<RhsPacket> RhsPacketx4;
| ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, false, false, 1, 2>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from 'struct Eigen::internal::gebp_kernel<std::complex<double>, std::complex<double>, long long int, Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>, 1, 4, false, false>'
D:/RCompile/CRANpkg/lib/4.5/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 = std::complex<double>; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, -1, -1, false>; int Side = 1; int Mode = 2]'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, -1, -1, false>; unsigned int _Mode = 2]'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, -1, -1, false>; unsigned int _Mode = 2]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:552:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:463:30: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
769 | PACKET_DECL_COND(Real, _PacketSize);
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
391 | name ## Packet
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
769 | PACKET_DECL_COND(Real, _PacketSize);
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
391 | name ## Packet
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
769 | PACKET_DECL_COND(Real, _PacketSize);
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
391 | name ## Packet
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
769 | PACKET_DECL_COND(Real, _PacketSize);
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
391 | name ## Packet
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
775 | Vectorizable = unpacket_traits<RealPacket>::vectorizable
| ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
780 | RealPacketSize = Vectorizable ? unpacket_traits<RealPacket>::size : 1,
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
790 | typedef DoublePacket<RealPacket> DoublePacketType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
793 | typedef typename conditional<Vectorizable,RealPacket, Scalar>::type LhsPacket;
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
794 | typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type RhsPacket;
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
796 | typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type AccPacket;
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
799 | typedef QuadPacket<RhsPacket> RhsPacketx4;
| ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1863:94: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1863:94: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1863:94: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1863:94: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/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/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >; int ProductTag = 8; 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> >; 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, -1, -1>, const Eigen::Matrix<double, -1, 1> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const 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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<const 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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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_product_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/4.5/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_product_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/4.5/RcppEigen/include/Eigen/src/Core/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_product_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]'
GWmodel.cpp:1865:64: required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/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/4.5/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/4.5/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<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR<MatrixType>::ColPivHouseholderQR(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from 'const Eigen::ColPivHouseholderQR<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::colPivHouseholderQr() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
GWmodel.cpp:1867:84: required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/RcppEigen/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/4.5/RcppEigen/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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class 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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/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/4.5/RcppEigen/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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class 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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from '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/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.5/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>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, 4>'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, -1, 1, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, -1, 1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, -1, 1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, -1, 1, false>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.5/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, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, -1, 1, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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 = std::complex<double>; RhsScalar = std::complex<double>; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = std::complex<double>]':
D:/RCompile/CRANpkg/lib/4.5/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 = std::complex<double>; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, -1, -1, false>; int Side = 1; int Mode = 2]'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, -1, -1, false>; unsigned int _Mode = 2]'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, -1, -1, false>; unsigned int _Mode = 2]'
D:/RCompile/CRANpkg/lib/4.5/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::Product<Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, -1, -1, false>, Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, -1, -1, false>, 0>; DstType = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, -1, -1, false>; unsigned int _Mode = 2]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:463:30: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::unpacket_traits<Eigen::internal::DoublePacket<__vector(2) double> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: required from '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 = std::complex<double>; RhsScalar = std::complex<double>; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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 = std::complex<double>; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, -1, -1, false>; int Side = 1; int Mode = 2]'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, -1, -1, false>; unsigned int _Mode = 2]'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, -1, -1, false>; unsigned int _Mode = 2]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:552:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:463:30: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:746:64: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
746 | typedef DoublePacket<typename unpacket_traits<Packet>::half> half;
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1863:94: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block<const Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1863:94: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 64>':
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix<double, 8, 8, 0, 8, 8>'
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 8>':
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: 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/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: 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/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: 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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.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/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck<T, U, 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/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required 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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void 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/4.5/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/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:123:11: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required 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/4.5/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/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Functor = mul_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required 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::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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.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::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, -1, 1> >; Func = mul_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void 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::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/4.5/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, true>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:161:11: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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, true>, -1, 1, true>; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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, true>, -1, 1, true>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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, true>, -1, 1, true>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required 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, true>, -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/4.5/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, true>, -1, 1, true>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, true>, 1>'
D:/RCompile/CRANpkg/lib/4.5/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, true>, 3>'
D:/RCompile/CRANpkg/lib/4.5/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, true> >'
D:/RCompile/CRANpkg/lib/4.5/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, true> >'
D:/RCompile/CRANpkg/lib/4.5/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, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from '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<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/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<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1> >, -1, 1, true>; ResultType = double; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:463:30: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_traits<std::complex<_Tp>, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0; LhsScalar = std::complex<double>; LhsPacket = __vector(2) double]':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1525:13: required from '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 = std::complex<double>; RhsScalar = std::complex<double>; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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 = std::complex<double>; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, -1, -1, false>; int Side = 1; int Mode = 2]'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, -1, -1, false>; unsigned int _Mode = 2]'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, -1, -1, false>; unsigned int _Mode = 2]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:552:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:463:30: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
858 | dest = pload<LhsPacket>((const typename unpacket_traits<LhsPacket>::type*)(a));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: 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::Matrix<double, -1, -1>, 1, -1, false>; Rhs = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1863:94: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/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/4.5/RcppEigen/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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class 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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/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/4.5/RcppEigen/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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class 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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp<Eigen::internal::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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class 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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/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/4.5/RcppEigen/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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class 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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class 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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<-1, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<-1, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<-1, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<-1, 0> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<-1, 0> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Stride<-1, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, 1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:30: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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 DstXprType::Scalar = double; typename Eigen::PartialPivLU<MatrixType>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.5/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<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required 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::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.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::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void 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::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, 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/4.5/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::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]'
GWmodel.cpp:1680:81: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required 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::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.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::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void 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::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, 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/4.5/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::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]'
GWmodel.cpp:1680:81: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<Eigen::Matrix<double, -1, -1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required 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::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.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::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void 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::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, 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/4.5/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::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]'
GWmodel.cpp:1680:81: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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<Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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<Eigen::Matrix<double, -1, -1> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.5/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<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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<Eigen::Matrix<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required 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::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.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::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void 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::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, 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/4.5/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::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]'
GWmodel.cpp:1680:81: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: 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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: 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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: 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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck<T, U, 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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1863:94: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: 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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: 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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: 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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck<T, U, 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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1863:94: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >, 1, -1, true, false>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >, 1, -1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block<const Eigen::Transpose<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >, 1, -1, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1863:94: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1863:94: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/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::Transpose<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/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::Transpose<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1863:94: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:115:18: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:119:18: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/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/4.5/RcppEigen/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required 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/4.5/RcppEigen/include/Eigen/src/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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void 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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76: required from 'struct Eigen::internal::product_evaluator<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>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator<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>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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<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>, 1>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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<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>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76: required from 'struct Eigen::internal::product_evaluator<Eigen::Product<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, true>, -1, 1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator<Eigen::Product<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, true>, -1, 1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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::Product<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, true>, -1, 1, false>, 1>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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::Product<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, true>, -1, 1, false>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal<Eigen::Matrix<double, -1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:297:21: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false>, -1, 1, false>, 0, 4>'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:114: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_traits<std::complex<_Tp>, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 1; LhsScalar = std::complex<double>; LhsPacket = __vector(2) double]':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1198:19: required from 'void Eigen::internal::lhs_process_one_packet<nr, LhsProgress, RhsProgress, LhsScalar, RhsScalar, ResScalar, AccPacket, LhsPacket, RhsPacket, ResPacket, GEBPTraits, LinearMapper, DataMapper>::peeled_kc_onestep(Eigen::Index, const LhsScalar*, const RhsScalar*, GEBPTraits, LhsPacket*, RhsPacketx4*, RhsPacket*, AccPacket*, AccPacket*, AccPacket*, AccPacket*) [with int nr = 4; long long int LhsProgress = 1; long long int RhsProgress = 1; LhsScalar = std::complex<double>; RhsScalar = std::complex<double>; ResScalar = std::complex<double>; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, false, false, 1, 1>; LinearMapper = Eigen::internal::BlasLinearMapper<std::complex<double>, long long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; Eigen::Index = long long int; RhsPacketx4 = Eigen::internal::QuadPacket<Eigen::internal::DoublePacket<__vector(2) double> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1269:11: required from 'void Eigen::internal::lhs_process_one_packet<nr, LhsProgress, RhsProgress, LhsScalar, RhsScalar, ResScalar, AccPacket, LhsPacket, RhsPacket, ResPacket, GEBPTraits, LinearMapper, DataMapper>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, ResScalar, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, int, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with int nr = 4; long long int LhsProgress = 1; long long int RhsProgress = 1; LhsScalar = std::complex<double>; RhsScalar = std::complex<double>; ResScalar = std::complex<double>; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, false, false, 1, 1>; LinearMapper = Eigen::internal::BlasLinearMapper<std::complex<double>, long long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1896:8: required from '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 = std::complex<double>; RhsScalar = std::complex<double>; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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 = std::complex<double>; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, -1, -1, false>; int Side = 1; int Mode = 2]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:463:30: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
858 | dest = pload<LhsPacket>((const typename unpacket_traits<LhsPacket>::type*)(a));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_traits<std::complex<_Tp>, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 2; LhsScalar = std::complex<double>; LhsPacket = __vector(2) double]':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1198:19: required from 'void Eigen::internal::lhs_process_one_packet<nr, LhsProgress, RhsProgress, LhsScalar, RhsScalar, ResScalar, AccPacket, LhsPacket, RhsPacket, ResPacket, GEBPTraits, LinearMapper, DataMapper>::peeled_kc_onestep(Eigen::Index, const LhsScalar*, const RhsScalar*, GEBPTraits, LhsPacket*, RhsPacketx4*, RhsPacket*, AccPacket*, AccPacket*, AccPacket*, AccPacket*) [with int nr = 4; long long int LhsProgress = 1; long long int RhsProgress = 1; LhsScalar = std::complex<double>; RhsScalar = std::complex<double>; ResScalar = std::complex<double>; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, false, false, 1, 2>; LinearMapper = Eigen::internal::BlasLinearMapper<std::complex<double>, long long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; Eigen::Index = long long int; RhsPacketx4 = Eigen::internal::QuadPacket<Eigen::internal::DoublePacket<__vector(2) double> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1269:11: required from 'void Eigen::internal::lhs_process_one_packet<nr, LhsProgress, RhsProgress, LhsScalar, RhsScalar, ResScalar, AccPacket, LhsPacket, RhsPacket, ResPacket, GEBPTraits, LinearMapper, DataMapper>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, ResScalar, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, int, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with int nr = 4; long long int LhsProgress = 1; long long int RhsProgress = 1; LhsScalar = std::complex<double>; RhsScalar = std::complex<double>; ResScalar = std::complex<double>; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, false, false, 1, 2>; LinearMapper = Eigen::internal::BlasLinearMapper<std::complex<double>, long long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1902:8: required from '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 = std::complex<double>; RhsScalar = std::complex<double>; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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 = std::complex<double>; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, -1, -1, false>; int Side = 1; int Mode = 2]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:463:30: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required 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::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.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::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void 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::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, 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/4.5/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::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]'
GWmodel.cpp:1680:81: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required 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::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.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::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void 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::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, 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/4.5/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::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]'
GWmodel.cpp:1680:81: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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, 3>'
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:170:53: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/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/4.5/RcppEigen/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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class 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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_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/4.5/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/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:43: 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, 1, 1>, 0, Eigen::InnerStride<1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required 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::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.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::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void 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::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, 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/4.5/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::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]'
GWmodel.cpp:1680:81: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseNullaryOp<Eigen::internal::scalar_constant_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/4.5/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const 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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1863:94: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits<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::Transpose<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1863:94: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits<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/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required 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/4.5/RcppEigen/include/Eigen/src/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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void 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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required 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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required 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/4.5/RcppEigen/include/Eigen/src/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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void 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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/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/4.5/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/4.5/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<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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, 3>'
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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, 3>'
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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, 3>'
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: 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<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: 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<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: 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<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.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<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.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<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck<T, U, 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<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required 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::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.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::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void 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::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, 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/4.5/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::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]'
GWmodel.cpp:1680:81: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: 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<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: 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<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: 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<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.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<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.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<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck<T, U, 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<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required 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::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.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::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void 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::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, 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/4.5/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::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]'
GWmodel.cpp:1680:81: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required 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::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.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::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void 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::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, 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/4.5/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::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]'
GWmodel.cpp:1680:81: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:141:16: 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/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required 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::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.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::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void 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::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, 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/4.5/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::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]'
GWmodel.cpp:1680:81: required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; int ProductTag = 8; 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>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1863:94: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/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/4.5/RcppEigen/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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class 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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class 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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/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/4.5/RcppEigen/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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class 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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/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/4.5/RcppEigen/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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class 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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::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/4.5/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/4.5/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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, 3>'
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/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/4.5/RcppEigen/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/4.5/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/4.5/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/4.5/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::Matrix<double, -1, 1>; Rhs = Eigen::Matrix<double, -1, 1>; int ProductTag = 4; 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>; 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>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required 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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required 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/4.5/RcppEigen/include/Eigen/src/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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void 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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required 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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void 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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required 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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required 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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void 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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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<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/4.5/RcppEigen/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<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/4.5/RcppEigen/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<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/4.5/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<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/4.5/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<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/4.5/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<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, -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>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, -1, 1, false> >; 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>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/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/4.5/RcppEigen/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/4.5/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/4.5/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/4.5/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<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, -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>::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<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, -1, 1, false> >; 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> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, true>, -1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, true>, -1, -1, false>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.5/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, true>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, true>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, true>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, true>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, true>, 2>'
D:/RCompile/CRANpkg/lib/4.5/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, true> >'
D:/RCompile/CRANpkg/lib/4.5/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, true> >'
D:/RCompile/CRANpkg/lib/4.5/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, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/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, true, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, 1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/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::Matrix<double, -1, 1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/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::Matrix<double, -1, 1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, 1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<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/4.5/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::Matrix<double, -1, 1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, true>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, -1, 1, false>; int ProductTag = 3; 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::Matrix<double, -1, 1>, -1, -1, true>, -1, -1, false>; 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, true>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, true> >':
D:/RCompile/CRANpkg/lib/4.5/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, 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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required 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, 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/4.5/RcppEigen/include/Eigen/src/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, 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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void 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, 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/4.5/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, true>, -1, -1, false>, -1, 1, true>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false>, -1, 1, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false>, -1, 1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false>, -1, 1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false>, -1, 1, false>, 1, 4>'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false>, -1, 1, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required 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/4.5/RcppEigen/include/Eigen/src/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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void 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/4.5/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/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:483:24: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/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<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const 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<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required 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::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.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::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void 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::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, 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/4.5/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::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]'
GWmodel.cpp:1680:81: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.5/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>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false>; Functor = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required 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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false>; Src = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false>; Func = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void 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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false>; Src = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<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/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:386:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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, 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/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/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, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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, true> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits<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, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required 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::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.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::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void 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::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, 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/4.5/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::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]'
GWmodel.cpp:1680:81: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/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/4.5/RcppEigen/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/4.5/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/4.5/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/4.5/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::Transpose<const Eigen::Matrix<double, -1, -1> >; int ProductTag = 8; 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>; 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> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required 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::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.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::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void 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::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, 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/4.5/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::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]'
GWmodel.cpp:1680:81: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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<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/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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<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/4.5/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<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/4.5/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<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/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits<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<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/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits<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/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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, true>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.5/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, true>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, true>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, true> >':
D:/RCompile/CRANpkg/lib/4.5/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, true> >'
D:/RCompile/CRANpkg/lib/4.5/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<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/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<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits<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<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required 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/4.5/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/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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, 7>'
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from '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/4.5/RcppEigen/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76: required from 'struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false>, -1, 1, false>, 1>, 4, Eigen::DenseShape, Eigen::DenseShape, double, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false>, -1, 1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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, 1, 1>, 0, Eigen::InnerStride<1> >, -1, -1, false>; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false>, -1, 1, false>, 1>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required 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, 1, 1>, 0, Eigen::InnerStride<1> >, -1, -1, false>; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false>, -1, 1, false>, 1>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: 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/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: 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/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: 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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.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/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck<T, U, 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/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: 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/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: 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/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: 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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.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/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck<T, U, 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/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits<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/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required 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::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.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::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void 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::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, 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/4.5/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::CwiseUnaryOp<scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Diagonal<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]'
GWmodel.cpp:1680:81: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required 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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required 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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >; RhsType = Eigen::Matrix<double, -1, -1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
GWmodel.cpp:1869:44: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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<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/4.5/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<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_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/4.5/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<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/4.5/RcppEigen/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<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/4.5/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<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, -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>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, -1, 1, false> >; 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>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/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<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>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class 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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/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/4.5/RcppEigen/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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class 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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class 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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/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<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/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<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class 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<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class 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<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const 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/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, false, true, 1, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1063:38: required from 'struct Eigen::internal::gebp_kernel<std::complex<double>, std::complex<double>, long long int, Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>, 1, 4, false, true>'
D:/RCompile/CRANpkg/lib/4.5/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 = std::complex<double>; Index = long long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = true; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1> > >; typename Dest::Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, 2>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1> > >; int ProductTag = 8; Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, 2>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1> > >; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, 2>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1> > >, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:463:30: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
769 | PACKET_DECL_COND(Real, _PacketSize);
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
391 | name ## Packet
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
769 | PACKET_DECL_COND(Real, _PacketSize);
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
391 | name ## Packet
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
769 | PACKET_DECL_COND(Real, _PacketSize);
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
391 | name ## Packet
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
769 | PACKET_DECL_COND(Real, _PacketSize);
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
391 | name ## Packet
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
775 | Vectorizable = unpacket_traits<RealPacket>::vectorizable
| ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
780 | RealPacketSize = Vectorizable ? unpacket_traits<RealPacket>::size : 1,
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
790 | typedef DoublePacket<RealPacket> DoublePacketType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
793 | typedef typename conditional<Vectorizable,RealPacket, Scalar>::type LhsPacket;
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
794 | typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type RhsPacket;
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
796 | typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type AccPacket;
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
799 | typedef QuadPacket<RhsPacket> RhsPacketx4;
| ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, true, false, 1, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1074:45: required from 'struct Eigen::internal::gebp_kernel<std::complex<double>, std::complex<double>, long long int, Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>, 1, 4, false, true>'
D:/RCompile/CRANpkg/lib/4.5/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 = std::complex<double>; Index = long long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = true; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1> > >; typename Dest::Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, 2>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1> > >; int ProductTag = 8; Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, 2>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1> > >; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, 2>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1> > >, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:463:30: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
769 | PACKET_DECL_COND(Real, _PacketSize);
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
391 | name ## Packet
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
769 | PACKET_DECL_COND(Real, _PacketSize);
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
391 | name ## Packet
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
769 | PACKET_DECL_COND(Real, _PacketSize);
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
391 | name ## Packet
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
769 | PACKET_DECL_COND(Real, _PacketSize);
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
391 | name ## Packet
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
775 | Vectorizable = unpacket_traits<RealPacket>::vectorizable
| ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
780 | RealPacketSize = Vectorizable ? unpacket_traits<RealPacket>::size : 1,
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
790 | typedef DoublePacket<RealPacket> DoublePacketType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
793 | typedef typename conditional<Vectorizable,RealPacket, Scalar>::type LhsPacket;
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
794 | typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type RhsPacket;
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
796 | typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type AccPacket;
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
799 | typedef QuadPacket<RhsPacket> RhsPacketx4;
| ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, false, true, 1, 1>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from 'struct Eigen::internal::gebp_kernel<std::complex<double>, std::complex<double>, long long int, Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>, 1, 4, false, true>'
D:/RCompile/CRANpkg/lib/4.5/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 = std::complex<double>; Index = long long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = true; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1> > >; typename Dest::Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, 2>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1> > >; int ProductTag = 8; Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, 2>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1> > >; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, 2>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1> > >, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:463:30: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
769 | PACKET_DECL_COND(Real, _PacketSize);
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
391 | name ## Packet
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
769 | PACKET_DECL_COND(Real, _PacketSize);
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
391 | name ## Packet
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
769 | PACKET_DECL_COND(Real, _PacketSize);
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
391 | name ## Packet
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
769 | PACKET_DECL_COND(Real, _PacketSize);
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
391 | name ## Packet
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
775 | Vectorizable = unpacket_traits<RealPacket>::vectorizable
| ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
780 | RealPacketSize = Vectorizable ? unpacket_traits<RealPacket>::size : 1,
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
790 | typedef DoublePacket<RealPacket> DoublePacketType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
793 | typedef typename conditional<Vectorizable,RealPacket, Scalar>::type LhsPacket;
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
794 | typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type RhsPacket;
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
796 | typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type AccPacket;
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
799 | typedef QuadPacket<RhsPacket> RhsPacketx4;
| ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, false, true, 1, 2>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from 'struct Eigen::internal::gebp_kernel<std::complex<double>, std::complex<double>, long long int, Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>, 1, 4, false, true>'
D:/RCompile/CRANpkg/lib/4.5/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 = std::complex<double>; Index = long long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = true; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1> > >; typename Dest::Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, 2>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1> > >; int ProductTag = 8; Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, 2>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1> > >; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, 2>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1> > >, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:463:30: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
769 | PACKET_DECL_COND(Real, _PacketSize);
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
391 | name ## Packet
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
769 | PACKET_DECL_COND(Real, _PacketSize);
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
391 | name ## Packet
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
769 | PACKET_DECL_COND(Real, _PacketSize);
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
391 | name ## Packet
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
769 | PACKET_DECL_COND(Real, _PacketSize);
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
391 | name ## Packet
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
775 | Vectorizable = unpacket_traits<RealPacket>::vectorizable
| ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
780 | RealPacketSize = Vectorizable ? unpacket_traits<RealPacket>::size : 1,
| ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
790 | typedef DoublePacket<RealPacket> DoublePacketType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
793 | typedef typename conditional<Vectorizable,RealPacket, Scalar>::type LhsPacket;
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
794 | typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type RhsPacket;
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
796 | typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type AccPacket;
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
799 | typedef QuadPacket<RhsPacket> RhsPacketx4;
| ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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, 0, 1, 1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, -1, 0, 1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/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/4.5/RcppEigen/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/4.5/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/4.5/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/4.5/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>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; 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<> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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 = std::complex<double>; RhsScalar = std::complex<double>; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = true; ResScalar = std::complex<double>]':
D:/RCompile/CRANpkg/lib/4.5/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 = std::complex<double>; Index = long long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = true; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1> > >; typename Dest::Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, 2>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1> > >; int ProductTag = 8; Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, 2>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1> > >; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, 2>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1> > >, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, 2>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1> > >; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, 2>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1> > >, Eigen::TriangularShape, Eigen::DenseShape, 8>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:463:30: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/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/4.5/RcppEigen/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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class 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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/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/4.5/RcppEigen/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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class 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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class 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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class 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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/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/4.5/RcppEigen/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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class 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/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class 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/4.5/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, 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/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false>, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false>, 1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false>, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false>, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false>, -1, 1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false>, -1, 1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false>, -1, 1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false>, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false>, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false>, -1, 1, false>; int ProductTag = 4; 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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false>; 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::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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::OuterStride<> >, -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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required 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, 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/4.5/RcppEigen/include/Eigen/src/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, 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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void 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, 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/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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>; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Matrix<double, -1, 1>; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Matrix<double, -1, 1>; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:61: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_traits<std::complex<_Tp>, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = false; bool _ConjRhs = true; int Arch = 1; int _PacketSize = 0; LhsScalar = std::complex<double>; LhsPacket = __vector(2) double]':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1525:13: required from '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 = std::complex<double>; RhsScalar = std::complex<double>; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = true; ResScalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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 = std::complex<double>; Index = long long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = true; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1> > >; typename Dest::Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, 2>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1> > >; int ProductTag = 8; Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, 2>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1> > >; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>, 2>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1> > >, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:463:30: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
858 | dest = pload<LhsPacket>((const typename unpacket_traits<LhsPacket>::type*)(a));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::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/4.5/RcppEigen/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::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/4.5/RcppEigen/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::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/4.5/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::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/4.5/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::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/4.5/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::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 ProductTag = 3; 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::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, false>; 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, -1, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required 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/4.5/RcppEigen/include/Eigen/src/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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void 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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/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/4.5/RcppEigen/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/4.5/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/4.5/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/4.5/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>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >; 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>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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>; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Matrix<double, -1, 1>; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<Eigen::Matrix<double, -1, 1> >; _MatrixType = const Eigen::Matrix<double, -1, 1>; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:61: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false>, -1, 1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/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<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits<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<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::InnerStride<1> >, 1, 1, false>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/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, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/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, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1050:11: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_traits<std::complex<_Tp>, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = false; bool _ConjRhs = true; int Arch = 1; int _PacketSize = 1; LhsScalar = std::complex<double>; LhsPacket = __vector(2) double]':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1198:19: required from 'void Eigen::internal::lhs_process_one_packet<nr, LhsProgress, RhsProgress, LhsScalar, RhsScalar, ResScalar, AccPacket, LhsPacket, RhsPacket, ResPacket, GEBPTraits, LinearMapper, DataMapper>::peeled_kc_onestep(Eigen::Index, const LhsScalar*, const RhsScalar*, GEBPTraits, LhsPacket*, RhsPacketx4*, RhsPacket*, AccPacket*, AccPacket*, AccPacket*, AccPacket*) [with int nr = 4; long long int LhsProgress = 1; long long int RhsProgress = 1; LhsScalar = std::complex<double>; RhsScalar = std::complex<double>; ResScalar = std::complex<double>; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, false, true, 1, 1>; LinearMapper = Eigen::internal::BlasLinearMapper<std::complex<double>, long long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; Eigen::Index = long long int; RhsPacketx4 = Eigen::internal::QuadPacket<Eigen::internal::DoublePacket<__vector(2) double> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1269:11: required from 'void Eigen::internal::lhs_process_one_packet<nr, LhsProgress, RhsProgress, LhsScalar, RhsScalar, ResScalar, AccPacket, LhsPacket, RhsPacket, ResPacket, GEBPTraits, LinearMapper, DataMapper>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, ResScalar, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, int, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with int nr = 4; long long int LhsProgress = 1; long long int RhsProgress = 1; LhsScalar = std::complex<double>; RhsScalar = std::complex<double>; ResScalar = std::complex<double>; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, false, true, 1, 1>; LinearMapper = Eigen::internal::BlasLinearMapper<std::complex<double>, long long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1896:8: required from '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 = std::complex<double>; RhsScalar = std::complex<double>; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = true; ResScalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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 = std::complex<double>; Index = long long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = true; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1> > >; typename Dest::Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:463:30: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
858 | dest = pload<LhsPacket>((const typename unpacket_traits<LhsPacket>::type*)(a));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_traits<std::complex<_Tp>, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = false; bool _ConjRhs = true; int Arch = 1; int _PacketSize = 2; LhsScalar = std::complex<double>; LhsPacket = __vector(2) double]':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1198:19: required from 'void Eigen::internal::lhs_process_one_packet<nr, LhsProgress, RhsProgress, LhsScalar, RhsScalar, ResScalar, AccPacket, LhsPacket, RhsPacket, ResPacket, GEBPTraits, LinearMapper, DataMapper>::peeled_kc_onestep(Eigen::Index, const LhsScalar*, const RhsScalar*, GEBPTraits, LhsPacket*, RhsPacketx4*, RhsPacket*, AccPacket*, AccPacket*, AccPacket*, AccPacket*) [with int nr = 4; long long int LhsProgress = 1; long long int RhsProgress = 1; LhsScalar = std::complex<double>; RhsScalar = std::complex<double>; ResScalar = std::complex<double>; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, false, true, 1, 2>; LinearMapper = Eigen::internal::BlasLinearMapper<std::complex<double>, long long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; Eigen::Index = long long int; RhsPacketx4 = Eigen::internal::QuadPacket<Eigen::internal::DoublePacket<__vector(2) double> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1269:11: required from 'void Eigen::internal::lhs_process_one_packet<nr, LhsProgress, RhsProgress, LhsScalar, RhsScalar, ResScalar, AccPacket, LhsPacket, RhsPacket, ResPacket, GEBPTraits, LinearMapper, DataMapper>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, ResScalar, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, int, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with int nr = 4; long long int LhsProgress = 1; long long int RhsProgress = 1; LhsScalar = std::complex<double>; RhsScalar = std::complex<double>; ResScalar = std::complex<double>; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, false, true, 1, 2>; LinearMapper = Eigen::internal::BlasLinearMapper<std::complex<double>, long long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1902:8: required from '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 = std::complex<double>; RhsScalar = std::complex<double>; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = true; ResScalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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 = std::complex<double>; Index = long long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = true; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1, 0, -1, 1> > >; typename Dest::Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:463:30: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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<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/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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<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/4.5/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<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/4.5/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<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/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits<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<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/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required 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/4.5/RcppEigen/include/Eigen/src/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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void 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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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, 0, -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/4.5/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, 0, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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, 0, -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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required 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, 0, -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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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, 0, -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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required 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, 0, -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/4.5/RcppEigen/include/Eigen/src/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, 0, -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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void 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, 0, -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/4.5/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, 0, -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/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 34 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 34 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/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/4.5/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>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >; 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>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 44 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 42 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required 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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required 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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void 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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required 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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void 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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/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, 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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required 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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required 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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void 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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Transpose<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Transpose<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, 1, false>; Functor = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required 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::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Transpose<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, 1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/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::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, 1, false>; Src = Eigen::Block<Eigen::Transpose<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, 1, false>; Func = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void 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::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, 1, false>; Src = Eigen::Block<Eigen::Transpose<Eigen::Transpose<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/4.5/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::Transpose<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, 1, false>; Derived = Eigen::Block<Eigen::Transpose<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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::Transpose<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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required 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::Transpose<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/4.5/RcppEigen/include/Eigen/src/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::Transpose<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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void 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::Transpose<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/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Transpose<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/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:462:22: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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::Matrix<double, -1, -1, 0, 1, 1> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required 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::Matrix<double, -1, -1, 0, 1, 1> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.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::Matrix<double, -1, -1, 0, 1, 1> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void 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::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/4.5/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::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required 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::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.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::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void 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::Matrix<double, -1, -1, 1, -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/4.5/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::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:459:7: required from 'void Eigen::MatrixPower<MatrixType>::compute(ResultType&, RealScalar) [with ResultType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, 1>; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixPower.h:619:51: required from 'void Eigen::MatrixPowerReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >]'
D:/RCompile/CRANpkg/lib/4.5/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::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:615:19: required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > > >; Derived = Eigen::Matrix<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::ReturnByValue<Eigen::MatrixPowerReturnValue<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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::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]'
GWmodel.cpp:2368:90: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/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/4.5/RcppEigen/include/Eigen/Core:341:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/include" -DNDEBUG -I'D:/RCompile/CRANpkg/lib/4.5/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.5/RcppArmadillo/include' -I'D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include' -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -DARMA_64BIT_WORD=1 -fopenmp -pedantic -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -DR_NO_REMAP -c RcppExports.cpp -o RcppExports.o
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:205,
from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Dense:1,
from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:28,
from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigen.h:25,
from RcppExports.cpp:6:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/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/4.5/RcppEigen/include/Eigen/SparseCore:37,
from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Sparse:26,
from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:29:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix<double, 0, int>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/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/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix<double, -1, 1>'
RcppExports.cpp:800:231: required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix<double, -1, 1>'
RcppExports.cpp:800:231: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix<double, -1, -1>'
RcppExports.cpp:800:231: required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
gcc -I"D:/RCompile/recent/R/include" -DNDEBUG -I'D:/RCompile/CRANpkg/lib/4.5/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.5/RcppArmadillo/include' -I'D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include' -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -pedantic -Wstrict-prototypes -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -c init.c -o init.o
g++ -std=gnu++17 -shared -s -static-libgcc -o GWmodel.dll tmp.def GWmodel.o RcppExports.o init.o -LD:/RCompile/recent/R/bin/x64 -lRlapack -LD:/RCompile/recent/R/bin/x64 -lRblas -lgfortran -lm -lquadmath -fopenmp -Ld:/rtools44/x86_64-w64-mingw32.static.posix/lib/x64 -Ld:/rtools44/x86_64-w64-mingw32.static.posix/lib -LD:/RCompile/recent/R/bin/x64 -lR
make[1]: Leaving directory '/d/temp/2024_11_18_01_50_00_1577/RtmpE3bO2D/R.INSTALLfcf467447ecb/GWmodel/src'
make[1]: Entering directory '/d/temp/2024_11_18_01_50_00_1577/RtmpE3bO2D/R.INSTALLfcf467447ecb/GWmodel/src'
make[1]: Leaving directory '/d/temp/2024_11_18_01_50_00_1577/RtmpE3bO2D/R.INSTALLfcf467447ecb/GWmodel/src'
installing to d:/Rcompile/CRANpkg/lib/4.5/00LOCK-GWmodel/00new/GWmodel/libs/x64
** R
** data
** inst
** 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 'GWmodel' as GWmodel_2.4-1.zip
* DONE (GWmodel)